302 research outputs found
The study of microcurrent path of highly c-axis-oriented Bi (2223)/Ag tapes
No full textThe microcurrent path of highly c-axis-oriented Bi(2223)/Ag tapes has been investigated by in-plane (I//ab plane) and out-of-plane (I//c axis) transport measurements. It includes the dependence of transport critical current on temperatures close to Tc at different magnetic fields and the resistance transition broadening for applied fields H parallel to c-axis. It is found that the transport measurement results of in-plane and out-of-plane are quite different. We attribute the differences to the different microcurrent path. We think that the microcurrent path of the highly c-axis-oriented Bi(2223)/Ag tape is correlated with the direction of current injection
Dissipation anisotropy of highly c-axis-oriented(Bi,Pb)2Sr2Ca2Cu3Ox silver sheathed tapes
No full textDissipation anisotropy of a highly c-axis-oriented (Bi,Pb)2Sr2Ca2Cu3Ox silver-sheathed tape in the vicinity of Tc(T/Tc>0.9) has been investigated by measuring the dependence of the magnetoresistance on the applied field, the temperature and the angle (theta) between the magnetic field direction and the tape surface. The results show that the dissipation anisotropy increases with the increase of the field and the temperature. It is found that the dissipation is only related to the magnetic field component perpendicular to the tape surface (c-axis component), i.e., R(H,theta) = R(Hsin theta). The experimental results can be accounted for in terms of the easy motion of two-dimensional (2D) pancake vortices along the CuO2 planes
DECOMPOSITION ANALYSIS OF POPULATION CHANGE AND ITS DETERMINANTS IN BEIJING-TIANJIN-HEBEI METROPOLITAN REGION
Full text linkThis paper provides two scenarios of population change and its spatial distribution at the county level in the Beijing-Tianjin-Hebei Metropolitan Region: three residential patterns and three population growth groups. The findings show that population change in this region mainly agglomerated to the urban districts and areas of fast population growth in the period of 1990-2000. Regression results also provide details on the contribution of a number of determinants to the population change in the divisions of each scenario. This research concludes by arguing the necessity of future population studies in terms of different regional or local conditions.Decomposition; Population change; Determinants; Beijing-Tianjin-Hebei
Heat transfer enhancement phenomena and pressure drop characteristics in two-phase pulsating flow using R-134A
Full text linkThe heat transfer and pressure drop aspect of a saturated two-phase flow imposed to periodic inlet mass flow rate were studied using both experimental and modeling approaches. The two-phase flow of R-134 was tested in a single pass, horizontal smooth copper tube coil with a 6.2 mm (0.244-in.) inner diameter. The test section uses aluminum plain fins 0.30 m (11.8-in.) long, 0.03 m (1.18-in.) wide and 0.3 mm (0.012-in.) thick. Heat was applied to the test section using external air flow at ambient temperature. The test parameters varied as follows: mass flux, 75 – 250 kg/m2-s (55 – 184 klbm/ft2-hr); heat flux, 2-12 kW/m2 (600-3800 Btu/hr-ft2); vapor quality, 10-98 percent; saturation temperature 15 oC (59 oF); flow pulsation period (2-24 sec). The temporal pressure drop data was recorded and used as the basis of a newly proposed close-form model for predicting the heat transfer and pressure drop for pulsating two-phase flow based on the quasi-steady state assumption.
The enhancement of heat transfer in saturated boiling pulsating two-phase flow was found to be higher in shorter pulsation periods. It was also found that for low inlet vapor qualities and short pulsation periods, reduction in the pressure drop and enhancement in heat transfer coefficient could be achieved at the same time, which can be potentially beneficial to the system COP. Furthermore, the flow regime, which is a widely recognized factor having dominant influence on the heat transfer of two-phase flow, was also captured and analyzed in this study using high speed camera. Synchronized flow regime images and pressure drop data were also presented to demonstrate the relation between flow regime evolution and pressure drop variation with time as a potential means to identify the flow regime using the pressure drop characteristics.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01The student, Yuheng Zhang, accepted the attached license on 2017-12-13 at 08:49.The student, Yuheng Zhang, submitted this Thesis for approval on 2017-12-13 at 08:52.This Thesis was approved for publication on 2017-12-14 at 10:48.DSpace SAF Submission Ingestion Package generated from Vireo submission #11211 on 2018-03-13 at 09:54:06Made available in DSpace on 2018-03-13T15:20:48Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-12-14Embargo set by: Seth Robbins for item 105123
Lift date: 2020-03-13T15:21:19Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 105123
Lift date: 2020-03-13T15:25:40Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 105123
Lift date: 2020-03-13T15:28:52Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105123 on 2020-03-14T09:15:22Z
Bring game characters to the social space: Developing storytelling community AI agents driven by LLMs
No full textAI agents driven by Large Language Models (LLMs) are now ubiquitous in our daily life, so can they bring characters from games into reality? We address the integration of storytelling and AI agents driven by LLMs to develop engaging and believable fictional characters in community settings. Motivated by the potential of fictional characters to enhance social interactions, we introduce Storytelling Community AI Agents (SCAs) and the concept of story engineering to transform fictional game characters into "live" social entities within player communities. Our story engineering process includes three steps: (1) Character and story creation, defining the SCA's personality and worldview, (2) Presenting Live Stories to the Community, allowing the agent to recount challenges and seek suggestions, and (3) Communication with community members, enabling interaction between the agent and users. We employed the LLM GPT-3 to drive our SCAs, "David" and "Catherine," and evaluated their performance in an online gaming community, "DE (Alias)," on Discord. Our mixed-method analysis, based on questionnaires (N=15) and interviews (N=8) with community members, reveals that storytelling significantly enhances the engagement and believability of AI agents in community settings.
How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms
Full text linkDigital platforms facilitate the flow of information and the execution of transactions. This study investigates the impact of signals from platform-provided online information regarding search and experience attributes of products on the prices of their offline transactions. We situate our theorizing and empirical work in the context of digital real estate platforms. Our results suggest that online information pertaining to properties’ experience attributes has a significant influence on the prices of offline property transactions. The amount of online information relating to experience attributes—specifically, length of textual property description and the number of photos—positively influences the sale price of a property. In contrast, the amount of online property information related to search attributes—specifically, facts and features—has no significant influence on the property’s sale price. In addition, online property information on experience attributes has a significant impact on the sale price of uncommon properties (those valued significantly above or below their neighborhood averages), whereas its impact on the price of common properties (those valued close to their neighborhood averages) is insignificant. The findings are robust to various model specifications and across property transactions in different years, seasons, and geographical regions. They are also neither subject to confounding effect of real estate agents’ service quality nor driven by unobserved property heterogeneities. The findings shed light on how signals from online property information are used by home buyers and sellers for different types of properties. The insights have implications for how real estate professionals can better utilize digital platforms to convey signals regarding properties and facilitate property transactions and for how the platforms can be designed to support the exchange of information that provides signals on the quality of offline goods that are highly risky and experiential.This accepted article is published as Zhengrui Jiang, Arun Rai, Hua Sun, Cheng Nie, Yuheng Hu (2023) How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms. Information Systems Research 0(0).
https://doi.org/10.1287/isre.2020.0658Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2020.0658. Copyright © 2023, INFORM
Epitaxial and highly electrical conductive La₀.₅Sr₀.₅TiO₃films grown by pulsed laser deposition in vacuum
No full textAuthor name used in this publication: K. H. WongAuthor name used in this publication: Geoffrey PangAuthor name used in this publication: C. L. ChoyAuthor name used in this publication: Yuheng Zhang2000-2001 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishedVoR allowe
Elicited calls of Manx shearwater contain individual signatures and are amplified by the nest burrow
No full textImperial Users onl
Interactions Between Diets, Gut Microbiota and Host Metabolism
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
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